AI-102: Designing and Implementing a Microsoft Azure AI Solution Training

Overview

By passing the Planning and Implementing Microsoft Azure AI Solution: AI-102 exam, you can advance your career and join the cutting-edge field of artificial intelligence. You will learn how to develop, manage, and deploy Microsoft Azure AI solutions that employ Azure Cognitive Services and Applied AI services in this course, AI-102: Designing and Implementing a Microsoft Azure AI Solution.

We offer several practice tests that are very close to the actual exam for the AI-102 certification, along with thorough explanations of the answers. You will be able to master Designing and Implementing a Microsoft Azure AI Solution and pass the AI-102 exam after completing this course.

Prerequisites

• Understanding of Microsoft Azure and proficiency with the Azure portal
• Understanding of either Python or C#
• Familiarity with the programming lingo of JSON and REST

 Target Audience

• IT professionals that wish to implement artificial intelligence on Azure
• Individuals practicing for the Microsoft AI-102 exam

Learning objectives

• Establishing, setting up, deploying, and protecting Azure Cognitive Services
• Add speech services to the mix
• Adopt text analytics
• Develop language comprehension skills with LUIS
• Solution development and administration for Azure Cognitive Search
• Use the Bot Framework to create intelligent agents.
• Use computer vision techniques

Module 1: Introduction to AI on Azure

• Introduction to Artificial Intelligence
• Artificial Intelligence in Azure

 Module 2: Developing AI Apps with Cognitive Services

• Getting Started with Cognitive Services
• Using Cognitive Services for Enterprise Applications

 Module 3: Getting Started with Natural Language Processing

• Analyzing Text
• Translate Text

 Module 4: Building Speech-Enabled Applications

• Speech Recognition and Synthesis
• Speech Translation

 Module 5: Creating Language Understanding Solutions

• Creating a Language Understanding App
• Publishing and Using a Language Understanding App
• Using Language Understanding with Speech

 Module 6: Building a QnA Solution

• Creating a QnA Knowledge Base
• Publishing and Using a QnA Knowledge Base

 Module 7: Conversational AI and the Azure Bot Service

• Bot Basics
• Implementing a Conversational Bot

 Module 8: Getting Started with Computer Vision

• Analyzing Images
• Analyzing Videos

 Module 9: Developing Custom Vision Solutions

• Image Classification
• Object Detection

 Module 10: Detecting, Analyzing, and Recognizing Faces

• Detecting Faces with the Computer Vision Service
• Using the Face Service

 Module 11: Reading Text in Images and Documents

• Reading text with the Computer Vision Service
• Extracting Information from Forms with the Form Recognizer service

 Module 12: Creating a Knowledge Mining Solution

• Implementing an Intelligent Search Solution
• Developing Custom Skills for an Enrichment Pipeline
• Creating a Knowledge Store

FAQs

What demand exists in the market for this AI-102: Planning and Building a Microsoft Azure AI Solution?

Azure is gaining ground in the cloud business, and the market share difference between Azure and Amazon is rapidly closing. Several businesses are implementing Azure’s AI services. AI-100 is being replaced with this test, which is a replacement exam.

What qualifications will the certification provide?

Candidates’ skills in using machine learning, knowledge mining, and cognitive services for the architecture and implementation of Microsoft AI solutions that involve conversational AI, natural language processing, computer vision, and speech would be evaluated by the Microsoft Azure AI-102 certification exam. The exam assesses applicants’ abilities to keep an eye on AI systems to ensure maximum effectiveness.

Which eminent businesses use Azure AI as part of their tech stacks?

The following firms use Azure AI into their IT stack:

• Bluebeam Software
• Legalcluster
• Infrastructure Chatbots
• Microsoft
• iHire